Triple
T17771906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandyopadhyay |
E443659
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Sanjib Chattopadhyay (born Bandyopadhyay) |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sanjib Chattopadhyay (born Bandyopadhyay) | Statement: [Bandyopadhyay, hasNotableBearer, Sanjib Chattopadhyay (born Bandyopadhyay)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjib Chattopadhyay (born Bandyopadhyay) Context triple: [Bandyopadhyay, hasNotableBearer, Sanjib Chattopadhyay (born Bandyopadhyay)]
-
A.
Sanjib Saha
Sanjib Saha is a person notable enough to be recognized as a namesake of the surname Saha.
-
B.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
-
C.
Sanjib Bose
Sanjib Bose is an individual notable for bearing the surname Bose, associated with the broader Bose family name.
-
D.
Sanjib Bhattacharyya
Sanjib Bhattacharyya is an economist and academic recognized as a notable scholar associated with the Delhi School of Economics.
-
E.
Bandyopadhyay
chosen
Bandyopadhyay is a Bengali surname, often anglicized as Banerjee, commonly associated with people from the Bengali-speaking regions of India and Bangladesh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e486005770819085d637279b2334eb |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.